采用物联网技术的震后多生命体目标定位研究
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摘要
针对多数生命探测装置只能探测震后灾害环境某一区域的生命体信息的现状,采用物联网技术,将大量超声传感器节点分布于现场环境中,对各个区域内的生命体进行定位.为提高多生命体目标定位性能,发射端采用混沌编码和二值频移键控构造超声传感器的扩频发射信号,相关技术被用于接收端解扩.采用了遗传算法优化混沌初值以提高回声信号相关效果.实验结果表明,物联网超声传感器节点采用优化二值频移键控作为发射信号可实现多个生命体同时定位,定位绝对误差在4.0cm以内.
According to the present situation of life detection instrument,which can only detect regional life information in post-earthquake disaster environment,the internet of things technique is applied in multi-life targets location system. Many ultrasonic sensor nodes are distributed in the field environment to locate the multi-life targets in each region. To improve the performance of multi-life location system based on internet of things,the chaotic codes with Binary Frequency Shift Keying( BFSK) were used to construct the spread spectrum emission signals for ultrasonic sensors. Correlation technique in the receiving circuit was used to despread. In order to improve the echo signal correlation effect,genetic algorithm was applied to optimize chaotic initial values. The experimental results demonstrated that the ultrasonic multilife location system based on internet of things with optimized BFSK emission could realize the simultaneous location of multiple live subjects with maximal 4. 0cm absolute error.
According to the present situation of life detection instrument,which can only detect regional life information in post-earthquake disaster environment,the internet of things technique is applied in multi-life targets location system. Many ultrasonic sensor nodes are distributed in the field environment to locate the multi-life targets in each region. To improve the performance of multi-life location system based on internet of things,the chaotic codes with Binary Frequency Shift Keying( BFSK) were used to construct the spread spectrum emission signals for ultrasonic sensors. Correlation technique in the receiving circuit was used to despread. In order to improve the echo signal correlation effect,genetic algorithm was applied to optimize chaotic initial values. The experimental results demonstrated that the ultrasonic multilife location system based on internet of things with optimized BFSK emission could realize the simultaneous location of multiple live subjects with maximal 4. 0cm absolute error.
引文
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[2]宁焕生,张瑜,刘芳丽,等.中国物联网信息服务系统研究[J].电子学报,2006,34(12A):2514-2517Ning Huansheng,Zhang Yu,Liu Fangli,et al.Research on China internet of things'services and management[J].Acta Electronica Sinica,2006,34(12A):2514-2517
[3]李建中,李金宝,石胜飞.传感器网络及其数据管理的概念、问题与进展[J].软件学报,2003,14(10):1717-1727Li Jianzhong,Li Jinbao,Shi Shengfei.Concepts,issues and advance of sensor networks and data management of sensor networks[J].Journal of Software,2003,14(10):1717-1727
[4]Michalis P,Christos G.Event source position estimation using sensor networks[J].Mediterranean Conference on Control and Automation,2006:1-6
[5]Sheng X,Wu Y.Maximum likelihood multiple source localization using Acoustic Energy Measurements with Wireless sensor networks[J].IEEE Transactions on Signal Processing,2005,53(1):44-52
[6]顾晶晶,陈松灿,庄毅.基于无线传感器网络拓扑结构的物联网定位模型[J].计算机学报,2010,33(9):1548-1556Gu Jingjing,Chen Songcan,Zhuang Yi.Wireless sensor network-based topology structures for the internet of things location[J].Chinese Journal of Computers,2010,33(9):1548-1556
[7]孙玉砚,刘卓华,李强,等.一种面向3G接入的物联网安全架构[J].计算机研究与发展,2010,47:327-332Sun Yuyan,Liu Zhuohua,Li Qiang,et al.A security framework for internet of things based on 3G access[J].Journal of Computer Research and Development,2010,47:327-332
[8]王绪本,郭勇,王娇,等.基于声波与振动探测的地震灾害生命搜索系统信号分析[J].工程地球物理学报,2005,2(2):79-84Wang Xuben,Guo Yong,Wang Jiao,et al.Analysis of victim location system signal in earthquake disaster based on acoustic and seismic wave detection[J].Chinese Journal of Engineering Geophysics,2005,2(2):79-84
[9]杨金伟.光学生命搜索与定位-辅助声光一体微型探生仪的研究[D].成都:成都理工大学,2003Yang Jinwei.Optical life search and location-study of aided micro-life detector with the integration of acoustic and optical[D].Chengdu:Chengdu University of Technology,2003
[10]路国华,王健琪,杨国胜,等.生物雷达技术的研究现状[J].国外医学生物医学工程分册,2004,27(6):368-370Lu Guohua,Wang Jianqi,Yang Guosheng,et al.Current state of the technology of bioradar[J].Biomedical Engineering Foreign Medical Sciences,2004,27(6):368-370
[11]Chen K,Huang Y,Zhang J,et al.Microwave life-detection systems for searching human subjects under earthquake rubble or behind barrier[J].IEEE Transactions on Biomedical Engineering,2000,47(1):105-114
[12]徐雯琪.生命搜索中超声探测的机理研究及超声探生仪的初步设计[D].成都:成都理工大学,2006Xu Wenqi.The mathematic study of ultrasonic life detection and the preliminary design of ultrasonic life detector[D].Chengdu:Chengdu University of Technology,2006
[13]孟庆浩,兰少莹,姚振静,等.基于混沌脉冲位置调制的实时超声测距系统串扰抑制[J].电子学报,2008,36(11):2268-2273Meng Qinghao,Lan Shaoying,Yao Zhenjing,et al.Rejecting crosstalk of real-time ultrasonic ranging system based on chaotic pulse position modulation[J].Acta Electronica Sinica,2008,36(11):2268-2273
[14]Meng Q,Lan S,Yao Z,et al.Real-time noncrosstalk sonar system by short optimized pulse position modulation sequences[J].IEEE Transactions on Instruments and Measurement,2009,58(10):3442-3449
[15]Meng Q,Yao Z,Peng H.Improvement of energy efficiency via spectrum optimization of excitation sequence for multichannel simultaneously triggered airborne sonar system[J].Review of Scientific Instruments,2009,80(12):124903-1-124903-7
[16]Jiang Y.On Ulam-von Neumann transformations[J].Communications in Mathematical Physics,1995,172(3):449-459
[17]Nakahira K,Kodama T,Furuhashi T,et al.Design of digital polarity correlators in a multiple-user sonar ranging system[J].IEEE Transactions on Instrumentation and Measurement,2005,54(1):305-310
[18]Alvarez F,Urea J,Mazo M,et al.High reliability outdoor sonar prototype based on efficient signal coding[J].IEEE Transactions on Ultrasonics,Ferroelectrics,and Frequency Control,2006,53(10):1862-1871
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